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ORCIDDong Liu 0008
Person information
- affiliation: Henan Normal University, School of Computer Science and Technology, Xinxiang, China
- affiliation (PhD 2013): Tianjin University, China
Other persons with the same name
- Dong Liu — disambiguation page
- Dong Liu 0001 — Columbia University, Department of Electrical Engineering, New York, NY, USA (and 1 more)
- Dong Liu 0002
![[0000-0001-9100-2906]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9100-2906")
— University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Hefei, China - Dong Liu 0003 — Beihang University, School of Electronics and Information Engineering, Beijing, China
- Dong Liu 0004 — Renmin University of China, Department of Psychology, China
- Dong Liu 0005 — Tongji University, School of Electronics and Information, Shanghai, China
- Dong Liu 0006 — Aalborg University, Department of Energy Technology, Denmark (and 1 more)
- Dong Liu 0007 — University of Science and Technology of China, Department of Modern Physics, CAS Key Laboratory of Microscale Magnetic Resonance, Hefei, China
- Dong Liu 0009 — KTH Royal Institute of Technology, Division of Information Science and Engineering, Stockholm, Sweden
- Dong Liu 0010 — Nantong University, Jiangsu Key Laboratory of Neuroregeneration, Nantong, China
- Dong Liu 0011 — Dalian University of Technology, School of Mechanical Engineering, Dalian, China (and 2 more)
- Dong Liu 0012 — Hong Kong Polytechnic University, Department of Electronic and Information Engineering, Hong Kong
- Dong Liu 0013 — Shenyang Aerospace University, China (and 1 more)
- Dong Liu 0014 — IBM China Research Laboratory, Beijing, China
- Dong Liu 0015 — The Open University, Knowledge Media Institute, Milton Keynes, UK
- Dong Liu 0016 — Michigan State University, National Superconducting Cyclotron Laboratory, East Lansing, MI, USA (and 2 more)
- Dong Liu 0017 — Jinan University, Department of Computer Science, Guangzhou, China
- Dong Liu 0018 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Key Laboratory of Control of Power Transmission and Conversion, Shanghai, China
- Dong Liu 0019 — Global Energy Interconnection Research Institute Co., State Key Laboratory of Advanced Power Transmission Technology, Beijing, China
- Dong Liu 0020 — Zhejiang University, College of Optical Science and Engineering, State Key Laboratory of Modern Optical Instrumentation, Hangzhou, China
- Dong Liu 0021 — Shandong Youth University of Political Science, School of Information Engineering, Jinan, China
- Dong Liu 0022 — Key Lab of National Defense Technology, Academy of Equipment Command and Technology, Beijing, China (and 1 more)
- Dong Liu 0023 — Yunnan University, School of Information, Kunming, China
- Dong Liu 0024 — Wuhan University of Science and technology, School of Computer Science and Technology, China
- Dong Liu 0025 — Dalian University of Technology, School of Software, China (and 1 more)
- Dong Liu 0026 — TiMi Studio Group, Shenzhen, China
- Dong Liu 0027 — Xiangnan University, School of Computer and Artificial Intelligence, Chenzhou, China (and 2 more)
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Journal Articles
- 2026
[j41]Guoqi Liu, Zuxian Sun, Peiyan Yuan, Sheng Yao, Dong Liu, Baofang Chang:
MSFA-Net: Multiscale feature enhancement and fusion attention-based dual-encoder network for breast ultrasound segmentation. Digit. Signal Process. 168: 105547 (2026)- 2025
- [j40]Guoqi Liu, Chang Liu, Dong Liu, Baofang Chang, Jiajia Wang, Shangwang Liu:
TPCP-Net: An efficient information enhancement network with a parameter quantity below 1M for Polyp segmentation. Biomed. Signal Process. Control. 108: 107970 (2025) - [j39]Guoqi Liu, Shaocong Dong, Yanan Zhou, Sheng Yao, Dong Liu:
MFAR-Net: Multi-level feature interaction and Dual-Dimension adaptive reinforcement network for breast lesion segmentation in ultrasound images. Expert Syst. Appl. 272: 126727 (2025) - [j38]Yun Zhou, Wenbo Cai, Yiran Ma, Dong Liu, Wei Wang:
DBENet-NPI: Predicting ncRNA-protein interactions based on multi-perspective information and dual-branch encoder network. Expert Syst. Appl. 294: 128818 (2025) - [j37]Guoqi Liu, Sheng Yao, Yanan Zhou, Dong Liu, Baofang Chang:
Boundary-Guided Global-Local Feature Fusion Network for Polyp Segmentation. IEEE Trans. Instrum. Meas. 74: 1-12 (2025) - 2024
- [j36]Wei Wang, Gaolin Yuan, Shitong Wan, Ziwei Zheng, Dong Liu, Hongjun Zhang, Juntao Li, Yun Zhou, Xianfang Wang:
A granularity-level information fusion strategy on hypergraph transformer for predicting synergistic effects of anticancer drugs. Briefings Bioinform. 25(Supplement 1) (2024) - [j35]Guoqi Liu, Sheng Yao, Dong Liu, Baofang Chang, Zongyu Chen, Jiajia Wang, Jiangqi Wei:
CAFE-Net: Cross-Attention and Feature Exploration Network for polyp segmentation. Expert Syst. Appl. 238(Part A): 121754 (2024) - [j34]Jiajia Wang, Guoqi Liu, Dong Liu, Baofang Chang:
MF-Net: Multiple-feature extraction network for breast lesion segmentation in ultrasound images. Expert Syst. Appl. 249: 123798 (2024) - [j33]Dong Liu, Ruoxue Jia, Xia Liu, Wensheng Zhang:
A unified framework of community hiding using symmetric nonnegative matrix factorization. Inf. Sci. 663: 120235 (2024) - [j32]Zhengchao Chang, Jing Liang, Shaohui Ma, Dong Liu:
Community hiding: Completely escape from community detection. Inf. Sci. 672: 120665 (2024) - [j31]Shibin Wang, Shiying Zhang, Dong Liu, Jinghui Zhong:
UCGAN: a contrastive learning-based unaligned image translation model with importance reweighting. J. Electronic Imaging 33(1) (2024) - [j30]Xi Cao, Ying Lin, Dong Liu, Henry Been-Lirn Duh, Jun Zhang:
Large-Scale Parallel Cognitive Diagnostic Test Assembly Using A Dual-Stage Differential Evolution-Based Approach. IEEE Trans. Artif. Intell. 5(6): 3120-3133 (2024) - [j29]Wei Wang, MengXue Yu, Bin Sun, Juntao Li, Dong Liu, Hongjun Zhang, Xianfang Wang, Yun Zhou:
SMGCN: Multiple Similarity and Multiple Kernel Fusion Based Graph Convolutional Neural Network for Drug-Target Interactions Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 21(1): 143-154 (2024) - [j28]Wei Wang, Zhenxi Sun, Dong Liu, Hongjun Zhang, Juntao Li, Xian-Fang Wang, Yun Zhou:
MAHyNet: Parallel Hybrid Network for RNA-Protein Binding Sites Prediction Based on Multi-Head Attention and Expectation Pooling. IEEE ACM Trans. Comput. Biol. Bioinform. 21(3): 416-427 (2024) - [j27]Guoqi Liu, Yanan Zhou, Jiajia Wang, Zongyu Chen, Dong Liu, Baofang Chang:
A Cross-Attention and Multilevel Feature Fusion Network for Breast Lesion Segmentation in Ultrasound Images. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j26]Shibin Wang, Xueshu Mei, Pengshuai Kang, Yan Li, Dong Liu:
DFC-dehaze: an improved cycle-consistent generative adversarial network for unpaired image dehazing. Vis. Comput. 40(4): 2807-2818 (2024) - 2023
- [j25]Guoqi Liu, You Jiang, Dong Liu, Baofang Chang, Linyuan Ru, Ming Li:
A coarse-to-fine segmentation frame for polyp segmentation via deep and classification features. Expert Syst. Appl. 214: 118975 (2023) - [j24]En Zhang, Zihao Nie, Qiang Yang, Yiqiao Wang, Dong Liu, Sang-Woon Jeon, Jun Zhang:
Heterogeneous cognitive learning particle swarm optimization for large-scale optimization problems. Inf. Sci. 633: 321-342 (2023) - [j23]Junna Zhang, Degang Chen, Qiang Yang, Yiqiao Wang, Dong Liu, Sang-Woon Jeon, Jun Zhang:
Proximity ranking-based multimodal differential evolution. Swarm Evol. Comput. 78: 101277 (2023) - [j22]Dong Liu, Hao He, Qiang Yang, Yiqiao Wang, Sang-Woon Jeon, Jun Zhang:
Function value ranking aware differential evolution for global numerical optimization. Swarm Evol. Comput. 78: 101282 (2023) - [j21]Wei Wang, Bin Sun, MengXue Yu, ShiYu Wu, Dong Liu, Hongjun Zhang, Yun Zhou:
GraphPLBR: Protein-Ligand Binding Residue Prediction With Deep Graph Convolution Network. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 2223-2232 (2023) - [j20]Guoqi Liu, Zongyu Chen, Dong Liu, Baofang Chang, Zhi Dou:
FTMF-Net: A Fourier Transform-Multiscale Feature Fusion Network for Segmentation of Small Polyp Objects. IEEE Trans. Instrum. Meas. 72: 1-15 (2023) - [j19]Guoqi Liu, Jiajia Wang, Dong Liu, Baofang Chang:
A Multiscale Nonlocal Feature Extraction Network for Breast Lesion Segmentation in Ultrasound Images. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j18]Shibin Wang, Zidiao Gao, Dong Liu:
Swin-GAN: generative adversarial network based on shifted windows transformer architecture for image generation. Vis. Comput. 39(12): 6085-6095 (2023) - 2022
- [j17]Dong Liu, Zhengchao Chang, Guoliang Yang, Enhong Chen:
Hiding ourselves from community detection through genetic algorithms. Inf. Sci. 614: 123-137 (2022) - [j16]Dong Liu, Zhengchao Chang, Guoliang Yang, Enhong Chen:
Community hiding using a graph autoencoder. Knowl. Based Syst. 253: 109495 (2022) - [j15]Yujie Yang, Long Wang, Dong Liu:
Anchor link prediction across social networks based on multiple consistency. Knowl. Based Syst. 257: 109939 (2022) - [j14]Jia-Quan Yang, Chun-Hua Chen, Jian-Yu Li, Dong Liu, Tao Li, Zhi-Hui Zhan:
Compressed-Encoding Particle Swarm Optimization with Fuzzy Learning for Large-Scale Feature Selection. Symmetry 14(6): 1142 (2022) - [j13]Guoliang Yang, Yanwei Wang, Zhengchao Chang, Dong Liu:
Overlapping Community Hiding Method Based on Multi-Level Neighborhood Information. Symmetry 14(11): 2328 (2022) - [j12]Dong Liu, Guoliang Yang, Yanwei Wang, Hu Jin, Enhong Chen:
How to Protect Ourselves From Overlapping Community Detection in Social Networks. IEEE Trans. Big Data 8(4): 894-904 (2022) - [j11]Tingyang Wei, Shibin Wang, Jinghui Zhong, Dong Liu, Jun Zhang:
A Review on Evolutionary Multitask Optimization: Trends and Challenges. IEEE Trans. Evol. Comput. 26(5): 941-960 (2022) - 2020
- [j10]Zhao Hong, Zong-Gan Chen, Dong Liu, Zhi-Hui Zhan, Jun Zhang:
A Multi-Angle Hierarchical Differential Evolution Approach for Multimodal Optimization Problems. IEEE Access 8: 178322-178335 (2020) - [j9]Dong Liu, Yunping Zhang, Jun Zhang, Qinpeng Li, Congpin Zhang, Yu Yin:
Multiple Features Fusion Attention Mechanism Enhanced Deep Knowledge Tracing for Student Performance Prediction. IEEE Access 8: 194894-194903 (2020) - [j8]Dong Liu, Qinpeng Li, Yan Ru, Jun Zhang:
The Network Representation Learning Algorithm Based on Semi-Supervised Random Walk. IEEE Access 8: 222956-222965 (2020) - [j7]Dong Liu, Yan Ru, Qinpeng Li, Shibin Wang, Jianwei Niu:
Semisupervised Community Preserving Network Embedding with Pairwise Constraints. Complex. 2020: 7953758:1-7953758:14 (2020) - [j6]Shibin Wang, Kele Mao, Furui Zhan, Dong Liu:
Hybrid conditional privacy-preserving authentication scheme for VANETs. Peer-to-Peer Netw. Appl. 13(5): 1600-1615 (2020) - 2019
- [j5]Dong Liu, Hao Nie, Jing Zhao, Qingchen Wang:
Identifying influential spreaders in large-scale networks based on evidence theory. Neurocomputing 359: 466-475 (2019) - 2018
- [j4]Lilin Fan, Shengli Xu, Dong Liu, Yan Ru:
Semi-Supervised Community Detection Based on Distance Dynamics. IEEE Access 6: 37261-37271 (2018) - [j3]Sizhen Du, Guojie Song, Haikun Hong, Dong Liu:
Learning dynamic dependency network structure with time lag. Sci. China Inf. Sci. 61(5): 052101:1-052101:16 (2018) - [j2]Haiju Fan, Ming Li, Dong Liu, Kang An:
Cryptanalysis of a plaintext-related chaotic RGB image encryption scheme using total plain image characteristics. Multim. Tools Appl. 77(15): 20103-20127 (2018) - [j1]Haiju Fan, Ming Li, Dong Liu, En Zhang:
Cryptanalysis of a colour image encryption using chaotic APFM nonlinear adaptive filter. Signal Process. 143: 28-41 (2018)
Conference and Workshop Papers
- 2024
- [c11]Biao Wang, Danting Duan, Qiang Yang, Xiao-Yan Zhao, Tao Li, Dong Liu, Jun Zhang:
Adaptive Ant Selection for Pheromone Update in Ant Colony Optimization. SMC 2024: 667-672 - 2022
- [c10]Zihao Nie, Qiang Yang, En Zhang, Dong Liu, Jun Zhang:
Ant Colony optimization for Electric Vehicle Routing Problem with Capacity and Charging Time Constraints. SMC 2022: 480-485 - [c9]Jun-Rong Jian, Chun-Hua Chen, Dong Liu, Jun Zhang, Zhi-Hui Zhan:
Can Big Population Always Bring Better Optimization Ability to Evolutionary Computation for Large-Scale Optimization? SMC 2022: 1468-1475 - [c8]Hang He, Tao Ren, Meng Cui, Dong Liu, Jianwei Niu:
Deep Reinforcement Learning Based Computation Offloading in Heterogeneous MEC Assisted by Ground Vehicles and Unmanned Aerial Vehicles. WASA (3) 2022: 481-494 - [c7]Yiming Yao, Tao Ren, Meng Cui, Dong Liu, Jianwei Niu:
Meta-MADDPG: Achieving Transfer-Enhanced MEC Scheduling via Meta Reinforcement Learning. WASA (3) 2022: 572-585 - 2021
- [c6]Wei Wang, Bin Sun, Dong Liu, Xianfang Wang, Hongjun Zhang:
DPLA: prediction of protein-ligand binding affinity by integrating multi-level information. BIBM 2021: 3428-3434 - [c5]Zhibin Miao, Jinghui Zhong, Peng Yang, Shibin Wang, Dong Liu:
Implicit Neural Network for Implicit Data Regression Problems. ICONIP (5) 2021: 187-195 - [c4]Xin-Xin Liu, Dong Liu, Qiang Yang, Xiao-Fang Liu, Wei-Jie Yu, Jun Zhang:
Comparative Analysis of Five Local Search Operators on Visiting Constrained Multiple Traveling Salesmen Problem. SSCI 2021: 1-8 - 2020
- [c3]Lilin Fan, Bingjie Li, Dong Liu, Huanhuan Dai, Yan Ru:
Identifying Propagation Source in Temporal Networks Based on Label Propagation. ICPCSEE (1) 2020: 72-88 - [c2]Jun-Chuan Chen, Min Cao, Zhi-Hui Zhan, Dong Liu, Jun Zhang:
A New and Efficient Genetic Algorithm with Promotion Selection Operator. SMC 2020: 1532-1537 - [c1]Zong-Gan Chen, Zhi-Hui Zhan, Dong Liu, Sam Kwong, Jun Zhang:
Particle Swarm Optimization with Hybrid Ring Topology for Multimodal Optimization Problems. SMC 2020: 2044-2049
Coauthor Index
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